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Point cloud reconstruction

This task aims to solve inherent problems in raw point clouds: sparsity, noise, and irregularity.

Papers

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Showing 91–100 of 101 papers

TitleStatusHype
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen ClassesCode0
MPED: Quantifying Point Cloud Distortion based on Multiscale Potential Energy DiscrepancyCode0
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape PriorsCode0
Learnable Chamfer Distance for Point Cloud ReconstructionCode0
SO-Net: Self-Organizing Network for Point Cloud AnalysisCode0
AIM2PC: Aerial Image to 3D Building Point Cloud ReconstructionCode0
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid NetworkCode0
PU-MFA : Point Cloud Up-sampling via Multi-scale Features AttentionCode0
Pyramid Multi-view Stereo Net with Self-adaptive View AggregationCode0
Few-shot point cloud reconstruction and denoising via learned Guassian splats renderings and fine-tuned diffusion featuresCode0
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